A Dataset and Benchmark for 3D Scene Plausibility Assessment
Fei Hu, Yibo Ma, Wei Zhong, Long Ye, Xinyan Yang, Li Fang, Qin Zhang · IEEE Transactions on Multimedia · 2024
The surge in popularity of 3D scene synthesis has driven the development of diverse methods for assessing the quality of synthesized scenes. While subjective assessment methods are widespread, their time-consuming and labor-intensive nature prompts exploration into more efficient objective alternatives. This paper introduces an objective approach to evaluating scene plausibility, aiming to overcome the limitations associated with subjective methods. To underpin our objective evaluation, we present the 3D-SPAD dataset, comprising plausibility scores for 3000 scenes across 46 object categories. Leveraging this dataset, we propose a graph attention-based network designed to accurately estimate scene plausibility. A comprehensive evaluation of our network is conducted through a series of experiments, showcasing its feasibility and reliability. For additional details and access to the code, please refer to our GitHub repository athttps://github.com/Mayibo-cuc/3D-SPAN.